Adding GlobalAveragePooling2D to ResNet50-CodePudding

I would like to add "GlobalAveragePooling2D" and Predication (Dense) to my base ResNet50. As show below

So I did this:

x=base_model.output
x = tf.keras.layers.GlobalAveragePooling2D()(x) 
x = tf.keras.layers.Dense(2, activation='softmax')(x)
model =  keras.models.Model(inputs=base_model.input,  outputs=x)
model.summary()

But I got this:

Are they different or the same, because I think I got different results.

CodePudding user response：

They are the same only difference is that you did not give any name to your layers. The summary will be same if you do it like:

x = base_model.output
x = tf.keras.layers.GlobalAveragePooling2D(name = 'avg_pool')(x) 
x = tf.keras.layers.Dense(2, activation='softmax', name = 'predictions')(x)
model =  tf.keras.models.Model(inputs=base_model.input,  outputs=x)
model.summary()